학술논문

Vessel tracking in peripheral CTA datasets-an overview
Document Type
Conference
Source
Proceedings Spring Conference on Computer Graphics Computer graphics Computer Graphics, Spring Conference on, 2001.. :232-239 2001
Subject
Computing and Processing
Signal Processing and Analysis
Bones
Tomography
Leg
Robustness
Testing
Angiography
Diseases
Atherosclerosis
Medical diagnostic imaging
Computer peripherals
Language
Abstract
We describe the results of the literature review focused on the peripheral vessel segmentation in 3D medical datasets, acquired by computer tomography angiography (CTA) of the human leg. The fundamental aim of such a segmentation task is a robust method for the detection of main vessels in the leg that simultaneously preserves the vessel calcification (the sediment is called plaque) and allows localization of vessel narrowings (called stenoses). This segmentation has to be free from artifacts, i.e., without false detections of stenoses and without false omitting of any stenotic part. The paper collects seven methods applicable for vessel segmentation.